@inproceedings{454895f5b0a54273b23cba579024538a,
title = "Clustering of human sperm swimming patterns in time-lapse images",
abstract = "In observations of sperm movements in 2-dimensional time-lapse images, the presence or absence of episodic rolling of the sperm cells creates different types of progressive swimming patterns. Development of automatic tracking of sperm trajectories in time-lapse images provides an opportunity to investigate these patterns. In this study, we cluster sperm cells by swimming types, using motility parameters calculated from sperm swimming tracks obtained by the joint probability density association filter (JPDAF). We apply k-means clustering and artificial bee colony (ABC) algorithm search on synthetic and real sperm swim data to identify the different swimming types. The result is clusters with interpretable distinctive features, demonstrating the potential to provide a clustering tool for automated sperm subpopulation analysis.",
keywords = "Artificial bee colony algorithm, Clustering, Particle tracking, Sperm imaging, Sperm motility",
author = "Choi, {Ji Won} and Leonardo Urbano and Puneet Masson and Matthew Vermilyea and Moshe Kam",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 6th IEEE International Conference on Healthcare Informatics, ICHI 2018 ; Conference date: 04-06-2018 Through 07-06-2018",
year = "2018",
month = jul,
day = "24",
doi = "10.1109/ICHI.2018.00060",
language = "English (US)",
series = "Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "371--373",
booktitle = "Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018",
address = "United States",
}